GRADUATE SCHOOL

M.SC. In Industrial Engineering (With Thesis)

IE 531 | Course Introduction and Application Information

Course Name
Advanced Production Systems
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 531
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s) -
Assistant(s) -
Course Objectives The purpose of the course is to describe the application of systems analysis and industrial engineering methodology to the design, planning, and analysis of manufacturing systems. Principal topics include group technology and cellular manufacturing systems, justintime, flexible manufacturing systems and optimization strategies for discrete parts manufacturing. Elements of material handling and storage systems and their interaction with each other, integration aspects of the elements of manufacturing systems will also be covered. Stochastic and deterministic techniques as well as optimal and heuristic algorithms will be discussed.
Learning Outcomes The students who succeeded in this course;
  • Get knowledge on basic models in manufacturing along with types and principles of manufacturing systems
  • Get knowledge on basic solution techniques for manufacturing models
  • Learn about applications of manufacturing models
Course Description Application of systems analysis and industrial engineering to the design, planning, and analysis of manufacturing systems. Principal topics include group technology and cellular manufacturing systems, justintime, flexible manufacturing systems and optimization strategies for discrete parts manufacturing. Elements of systems and their interaction with each other.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction/Review Principles And Types Of Mfg. Systems Askin & Standridge, Ch. 1
2 Assembly Lines Askin & Standridge, Ch. 2 And Sec. 3.1
3 Sequencing Mixed Lines Askin & Standridge, Ch. 2 And Lecture Notes
4 Transfer Lines I Askin & Standridge, Ch. 3 And Sec. 4.1
5 Transfer Lines II Askin & Standridge, Ch. 3 And Sec. 4.1
6 Shop Scheduling Askin & Standridge, Ch. 4 And Sec. 5.1
7 Flexible Manufacturing Systems Askin & Standridge, Ch. 5 And Sec. 6.1
8 Cellular Manufacturing Systems Askin & Standridge, Ch. 6 And Sec. 7.1
9 Facility Layout I Askin & Standridge, Chapter 7 and lecture notes
10 Facility Layout II Askin & Standridge, Chapter 7 and lecture notes
11 Machine Setup And Operation Sequencing I Askin & Standridge, Ch. 8
12 Machine Setup And Operation Sequencing II Askin & Standridge, Ch. 8
13 Handling and Warehousing Askin & Standridge, Ch. 9, 10
14 Queueing Models Askin & Standridge, Ch. 11 And Sec. 12.1
15 Conclusion And Paper Presentations
16 Review of the Semester

 

Course Notes/Textbooks R.G. Askin and C.R. Standridge, Modeling And Analysis Of Manufacturing Systems, Wiley, New York, 1993
Suggested Readings/Materials Related Research Papers

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
-
-
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
40
Presentation / Jury
1
40
Project
-
-
Seminar / Workshop
Oral Exams
Midterm
-
-
Final Exam
1
20
Total

Weighting of Semester Activities on the Final Grade
80
Weighting of End-of-Semester Activities on the Final Grade
20
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
15
6
90
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
30
30
Presentation / Jury
1
30
30
Project
-
-
0
Seminar / Workshop
0
Oral Exam
0
Midterms
-
-
0
Final Exam
1
27
27
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have an appropriate knowledge of methodological and practical elements of the basic sciences and to be able to apply this knowledge in order to describe engineering-related problems in the context of industrial systems.

X
2

To be able to identify, formulate and solve Industrial Engineering-related problems by using state-of-the-art methods, techniques and equipment.

X
3

To be able to use techniques and tools for analyzing and designing industrial systems with a commitment to quality.

X
4

To be able to conduct basic research and write and publish articles in related conferences and journals.

X
5

To be able to carry out tests to measure the performance of industrial systems, analyze and interpret the subsequent results.

X
6

To be able to manage decision-making processes in industrial systems.

X
7

To have an aptitude for life-long learning; to be aware of new and upcoming applications in the field and to be able to learn them whenever necessary.

X
8

To have the scientific and ethical values within the society in the collection, interpretation, dissemination, containment and use of the necessary technologies related to Industrial Engineering.

X
9

To be able to design and implement studies based on theory, experiments and modeling; to be able to analyze and resolve the complex problems that arise in this process; to be able to prepare an original thesis that comply with Industrial Engineering criteria.

X
10

To be able to follow information about Industrial Engineering in a foreign language; to be able to present the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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